Soil Data Explorer - HORNELLSVILLE

Official Series Description

Lab Data Summary

Aggregate lab data for the HORNELLSVILLE soil series. This aggregation is based on all pedons with a current taxon name of HORNELLSVILLE, and applied along 1-cm thick depth slices. Solid lines are the slice-wise median, bounded on either side by the interval defined by the slice-wise 5th and 95th percentiles. The median is the value that splits the data in half. Five percent of the data are less than the 5th percentile, and five percent of the data are greater than the 95th percentile. Values along the right hand side y-axis describe the proportion of pedon data that contribute to aggregate values at this depth. For example, a value of "90%" at 25cm means that 90% of the pedons correlated to HORNELLSVILLE were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
140	04N0369	S03NY003004	Hornellsville	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	42.2866669,-78.1488647
140	04N0372	S03NY003012	Hornellsville	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	42.2988892,-78.2422028
140	06N0430	S2005NY003018	Hornellsville	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	42.2750893,-77.8011703
140	06N0431	S2005NY003019	HORNELLSVILLE	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	42.275528,-77.7957764

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the HORNELLSVILLE soil series. Monthly precipitation (PPT) and potential evapotranspiration (PET) have been estimated from the 50th percentile of gridded values (PRISM 1981-2010) overlapping with the extent of SSURGO map units containing each series as a major component. Monthly PET values were estimated using the method of Thornthwaite (1948). These (and other) climatic parameters are calculated with each SSURGO refresh and provided by the fetchOSD function of the soilDB package. Representative water storage values (“AWC” in the figures) were derived from SSURGO by taking the 50th percentile of profile-total water storage (sum[awc_r * horizon thickness]) for each soil series. Note that this representation of “water storage” is based on the average ability of most plants to extract soil water between 15 bar (“permanent wilting point”) and 1/3 bar (“field capacity”) matric potential. Soil moisture state can be roughly interpreted as “dry” when storage is depleted, “moist” when storage is between 0mm and AWC, and “wet” when there is a surplus. Clearly there are a lot of assumptions baked into this kind of monthly water balance. This is still a work in progress.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the HORNELLSVILLE series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

Select annual climate data summaries for the HORNELLSVILLE series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

Geomorphic description summaries for the HORNELLSVILLE series and siblings. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. Proportions can be interpreted as an aggregate representation of geomorphic membership. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Small Shannon entropy values suggest relatively consistent geomorphic association, while larger values suggest lack thereof. Source: SSURGO component records (updated 2024-10-23).

There are insufficient data to create the 3D terrace figure.

There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with HORNELLSVILLE share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

Select annual climate data summaries for the HORNELLSVILLE series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the HORNELLSVILLE series and competing. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Proportions can be interpreted as an aggregate representation of geomorphic membership. Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Shannon entropy values close to 0 represent soil series with relatively consistent geomorphic association, while values close to 1 suggest lack thereof. Source: SSURGO component records (updated 2024-10-23).

There are insufficient data to create the 2D hillslope position figure.

There are insufficient data to create the 3D hills figure.

There are insufficient data to create the 3D mountains figure.

There are insufficient data to create the 3D terrace figure.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with HORNELLSVILLE, arranged according to family differentiae. Hovering over a series name will print full classification and a small sketch from the OSD. Source: snapshot of SC database (updated 2024-10-23).

Block Diagrams

No block diagrams are available.

Map Units

Map units containing HORNELLSVILLE as a major component. Limited to 250 records.

Map Unit Name	Symbol	Map Unit Area (ac)	Map Unit Key	National Map Unit Symbol	Soil Survey Area	Publication Date	Map Scale
Hornellsville silt loam, 3 to 8 percent slopes	14B	3328	299778	b1y8	ny003	2013	1:24000
Hornellsville silt loam, 8 to 15 percent slopes	14C	2587	299779	b1y9	ny003	2013	1:24000
Hornellsville silt loam, 0 to 3 percent slopes	14A	1402	299777	b1y7	ny003	2013	1:24000
Hornellsville silt loam, 15 to 25 percent slopes	14D	1260	299780	b1yb	ny003	2013	1:24000
Hornellsville silt loam, 25 to 35 percent slopes	14E	164	299781	b1yc	ny003	2013	1:24000
Hornellsville silt loam, 3 to 8 percent slopes	14B	1009	289535	9q8v	ny009	2002	1:24000
Hornellsville silt loam, 8 to 15 percent slopes	14C	943	289536	9q8w	ny009	2002	1:24000
Hornellsville silt loam, 8 to 15 percent slopes	178C	151	3105762	2y9xt	ny051	2019	1:24000
Hornellsville silt loam, 15 to 25 percent slopes	178D	68	3105763	2y9xv	ny051	2019	1:24000
Hornellsville silt loam, 3 to 8 percent slopes	178B	50	3105761	2y9xs	ny051	2019	1:24000

Map of Series Extent

Approximate geographic distribution of the HORNELLSVILLE soil series. To learn more about how this distribution was mapped, or to compare this soil series extent to others, use the Series Extent Explorer (SEE) application. Source: generalization of SSURGO geometry (updated 2024-10-30).